{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import svm, datasets\n",
    "# import some data to play with\n",
    "iris = datasets.load_iris()\n",
    "X = iris.data[:, :2] # we only take the first two features. We could\n",
    " # avoid this ugly slicing by using a two-dim dataset\n",
    "y = iris.target\n",
    "# we create an instance of SVM and fit out data. We do not scale our\n",
    "# data since we want to plot the support vectors\n",
    "C = 1.0 # SVM regularization parameter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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meZGS5tOMciwo55ze7EXopX6QurwPjb/raiQlZK4bbGkU5lHl9JGJlm4kP3Tx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\ntBgy9YmTSFrAFbTYvXQD6QP9ODm3oSa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/NB2kRscAb9v+0PZnwBLg4IYz9V2KQg/Z/pXt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\nd8r6oKVyOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ece6a518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='linear', C=1,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with linear kernel')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VoBxpw5pCxSCq25pZkiM4iBrWRUqSpxGlikO5z+lOLMJcv4PRfe9ddqjpQvxL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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee9eb9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=1,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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eeh4UIo1wHIex3duYnXNYOHssUQKU4tRpMgOj5LbsaPh/9zI5vP5hgrmpmnHH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\nwkRHuTE3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee9677f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='poly', C=1,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with poly kernel')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KwbBq6EUbwumYhKWWxLBaMErBYFjumG0jwyJilIKh51BVcmWfoh/aCFxLyPSQjaBVKl1Q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\nmJlZzf8AziuYPJ3075UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee6786a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=1,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel and gamma = auto')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ub7+j6PntwO0NrXiZkd8lLCUaXc7SWv3c15PfJSCNp/gQJ34XIlaUua8M1cYz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\n4qRgZmYlTgpmZlbipGBmZiX/D3HklmoOfcHaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee97e748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=1,gamma=10).fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel and gamma = 10')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1H0cCo3K1Ad2xJHacRgh2CfX7uCvStH9gabBdEWizhJEf9TL2k77I/oWxYUYO\nFcuVBoMnO+fjJNOMHNpL+ZVKds4n1Tl/yvM3GGaKRm6tNgDbgY+Hj+fCtrqIyHwR6Qyfp4FfBXZW\n9VkkoRVKRN4Yzsc4fjdB0fvoqd/6coWRWVUZztUKi/GCH7kD8H2/ZqEF8DRYnKP6x62hce3VAqHY\nNyqzatx8CsF6THvSDgPbhLaETSZR61F14cbLY2ZSSbm3UZyHEY7Q/oGlWAkLK2ljJWzEsWi9bC7O\notrdq/p+IBDUDx9BPeBs/5Eg8le1pt3LjjU0X4NhNpl0p6Cq48Bfho9mWAx8OQx2s4CvqeqjIvK7\n4bh3AdcAHxORAjAGXKuT+cgaalixZx8b11a6o9Y1yHp+jfG5nuE4W/Br3D1n0tDc7HzGCz6drlvX\nOL14x/amaiNceO2n66qNEq9qjTZo2ELqwtrcPoWx4dq+EG8UUSU33E86mW5kugbDrFHPJfVrqvqb\nZYnxKpgsIZ6qPkNglK5uv6vs+Z3AnU3N2DBtmhW7J5uUrjeffGIrP7vF4Vxn8gR/zSBOtHARK8zc\nVz1HbT6aWv2Ts2p0EMhXiUkiePpSb6fw8fCviSE4CZksvUI9/XpUsZmkLYwXGu+fqNO/WeJyHjUz\nH5gIvjvXabw2QjEuYTJye0aQCCO3n/PJ7RrCmV+pQgoifCPGFYk+n1i4rTOXTbSQGyfXfxRVn0T7\nHNx0826iB7v78T2PXYUNFR5Zz275jEk4eBpTLyHegfDpO4AfqOoLx2dKhmqqk7AVi+l84v3fBeDx\ndbU+9SJCi2sxWhVh5sYYZG3LwrW8moA0AVIRi6FjWdjiEaXlcakNm7CAhA3jVeaJuPk4loUrHvmq\n8ePmM5ViOeW2hLoeR4CO+Qz/9xHarpwfFHi2QPNK7qVhcrtHaakyX1i2Q6prEePHDlZG+LZkSKYc\nRnor776TLUmc9MwUjh89eoD80MT4hdEh7GQLbUte1fAY5QLhY8Nb4O6JY1eXpfcwguH0oxHvoxXA\n3SKyiqAk5w8IopB/PovzMoT07O4Fray3/IHrl9F13loeJ7rcZpGUY+NaFtmwNrFrWxWFdqrJJF1y\nBZ+xfFjLOKyNYEVEG6tqpECA6Dg6H3Btm6Qjjc8nVTmfpBNEZFfP55JttzZdLKcZgVBk/OcD5PeP\nkVzbjpWwyL4wTH7PaGz/ZHsXTqqF3FA/qI/b2o6bTjO49/mavvnxcdrdArlCradXM/iFXIVAKOJl\nR8kO9ZFXhPuJAAAgAElEQVTMzGl4rF3eR7nt6h/Rv7myvX/zXm67AR7+1rSmajhJacTQ/GkoeRD9\nDvCHwF8BzSWsMTRNeV6jrnsnBMCBuDdEYFtCSxNRvgnHIhGjniknP4U6msWU2jM5n3KDcqN67qKg\nLaayaAbvaI7R7zfuMW0nUqTnLiq9TjpjgR2iasfke4qOD4IzvTvv8f54tWJuoLcpoWA4M5n01yki\nfwRcBrQBTwN/APxwlud1xlM07t3/QavGs+h0pe3Gy0rP69VWLvb7z2V/3LRBuWf3MXYVNnDb1T+O\ndz+dVbSOpXwmTPonm1uA4VSjkVu2q4ECQfXC7wOPq6rJNTHrKGs/9Ck2nleZ+cMPI5RVg/rGtsSr\nX+r1L/g+Y/kg1iBpB3r9KDVRHFMJFIsyKOcTW4GyeskhO//oP3jDHbWW5p/d4nBu2O9cNjWdARXg\nmutX0H93/dxGVsYheW4GcYXcSyMUDs3MVz7nJYnyurYdGyvVjqMetj8K6qNOS0md5Bdy5EcGUd/H\nbclgx7iuJtq7yA9FB9MlMnPw8znyo4Oor7gtbaVxqtsnJgbpN85BbCH74jDekZgMiSF+PpynajjP\nVCOXxXAS0Yj66GIRaSfYLfwqcI+IHFbVxiKDDE1TVBsN3X4TlN0x5zy/IiBtrBB46bS60amwswWP\nkTLLcbG/+lphwC34igW0J2lYMIhIbIRyyoaxKvVIwq41KBdTW0NEveSXNjH0ydrzNuNZNFWS57aR\nec+i4MNYQsubuxh/dpDh7xye9ti+2sxbtZKje7pRVdRXbMdizqJ54Ofp2/MSKPjqY1kWXUsXMDxi\nMX7sQLgJULIDR0m0zSE1d1HN/91JpHBaOyiMDFS0W24CRRh65cWycY6QyMzBSqQY7z1Q0e5oC69Z\ncxRnfhLnLQkQoeWSLsaeHmDkf45EfrbsUF84TvDlCsbvqlCfGU5+GlEfXQC8BfgVgmyp+zDqo1mn\nWm0UF6Gc85SErTW5iFS1QiCU94/CJwgYa2lws6CqsRHKtm3T4Ui4Q9FSSuvyBWwy4/BsLPxF43I9\nJGGRec8ixC27EJaQvKCd7K4h8nunH3Wc9VuYs+ocbH8kiGdwWyl4Nsf27KqoFud7PsdeOVxbQU6V\n3HAfbls7TqrWY6l1wTIKY3MY7zsSuqR24ba0MbTv+crPH5bKrLkmqjiM8qZzf45I50Qchi2kX9tB\ndtdQzTl9r1AhECbGP4bb2o6Tamn6OhlODI2oj/6cwOPob4CfqarJ3nUCyPsam1MoW/BrVDNTMgQX\n/Ni8SFHziSMXGpTTVvRYjRiHq91wq6lnQ4h6r+/5DXkbua9qQcNrXY64QvL8zIwIBYCCb1OgPdiN\nFCDljEbu9mJLiqqSHx6oEQrln33RylWl57nhmOsZIyQF5cBLB1iwtOo6O0FCwJrPMzpMZNYrVfIj\nA0YonEI0oj4ywWvHkXqLYdwyfCrVMFm8YzvbH/hcXePwwe5+/ILHLi86xdYaexM9u3ux7NoxiruB\nqPfedvWPm/Y2KqHUteG+kL6WNfZnWLRyijscFWokUZOUf/bgGh2rErpxtxXRiMSl5Ih7hzFynw5M\nryKJYUYpukpGGZjrGXajDLhTMQQnHQvPV7Kh2idRpvYZDzOWKpCwhFSdDUVyshTWIjWLeTFYCgAN\nchFdGbOAF2sjr9FNtZHdRVfTiCI51f72UeRfHglcRqspKNnttWoTgCM338KzWz4zLemc9ZNoxO5L\nLIlsRwS3beIaVrjZbt6C86EVvLz7FVT7yBUS9BzO02o1EWENLHn14tpGT8nuGMJdVmnodlraolNZ\nVs3TcPJjhMJJxvqrVvL4ebW1hkSCbKDVdoUoA26xf9IWslU2hCBVda2B2AJElYHshMdP1vNwLcHz\nlfLuOT+wJ7TYwmjV+ElbIktiVuckKqd8Z3Db1T8GqHtH3795Lx9jL503rIk9PlU0pwx+6wDt712M\nAmIBPoz9vJ/8/gnV0ZGbb+Hr9wXnWbPlM9POs6Rq0dI1h+EjlStrIp1C0l2M9/YUO4IIiTAwrjzy\nuOhm2/965YX/3obv+6CBZ9PqV82j++UMKWuoYpxk+1zwx8gOjVSc13ZsDh0q0Dnfx7IdxCuAwujP\n+mj71QU8/MiuCiFo2Q7peUsYO9pTNf48HJPk75RCTrWkpGsWz9F7PvL2Ez2NGae49V+xZ19dH/1K\nF9P4msSqSl9M8qC2hI0llLmkWiRsie0fh2sJrQl70vkUcxIBNYvnVCKLjwfSYpM8pw1JWOReGsHr\nzdF5wwpeSF8LUNoZWOGuaLqJ93yvwNDe56lRwYjQunAFViJFfmQQ1MdJZ7ATQa6lIO7ixiAVBeB1\nWTxlvVxji7AdG1n6qwzueYqueVZgTE5ncBzo734xck6dS5fS22ux7FXtLF33Lobzi8j5mdJnj7IH\n+YU8+dHB0vjFeRpOPFd84aEnVXXdZP3qZUn9V+ppD1XfO8W5Gaoobv3XX7UyMo9ROZYIKWdyY3A9\nQ3C24JNJOmSSE2qeXJ0qa/XOMdl8ygVCtUfRySoQAHTUY/znA3TesILkuRleSF/Ld7d8BuSzQK1w\nmy6FseFolb8queEBWua3kWyPNspfc/2KUm6i0VWK7KsVzF7BY2n6eQawK8bxRw7Fzmms/xhdi1fz\n4nPHePG5r04cqOMgYDlusPswnLLUUx/9xXGbxRlMeSqLyQTCTHEiDNNxLqYno0Ao0nnDilBNAhB/\ndzwTBJ5H0YbgesGJNX2VWIO1FeUNVsf2VIxZMWmyzyzqZUn9/vGcyJlMVCqLgq+lxHGJssRxce3V\nuJbE+ppEGYLr9Y8jYU8+n5tfdz0/+6oDL1VGHzcSMwDgLEiSek0HJIXcrmFyL43UnWTyvAwtb54D\nrkV2xxCjPwyErrMwGRTDKY7z4kj8IMDha9ez86cPsGSRT7Kjk/F8EhHBy46RG+pD1cdtacdpyQSB\nfHYezQYRx05LhrF8kgMv10YWxy2w9VJtu5k5jB07TG6wF1CclgypuUuwbZs589IsSv2C9HsWkts5\nTOvzI9ASbbAeHMhjWwXGjvYE82/twE11AtHBaMnOubGXupAdJT/UXxrHSbcF38/xUfLDte0zRWE8\nPC8R541oNzRPI8FrZwN/BpwPlGLWVXX1JO9LEcQ3JMPzfL2YXK+sjwB/DbwHGAVuVNWnmvwMpx3j\neY/R6trEluBaMFbQmvaoUpRFw3RNjWZbaqqcFftbQmTm0zhhYQsMlhmmo+bj5tbzhju28rNbNpRS\nLQdut5OrjVIXd9B2xXywQGyL5DkZ8vtGGXyoJ3JCmfctIrkmU/o89iVdpC7qYPTxXtp+ZT7YglgS\njLM3HCeCV96xip7/+vsJQ+2xfjJzOxjLOWT7j5SEWX5kECfVxpxFHfS+3FNm2O2ldU6GXYWbueb6\nVaVxgzoE1W6i4TW2bFoWLGf08L6K9mTHfEYP7Ue9ifQShZFBhkcGWXLBBVxyxVnYzsvIhR0k12RI\nvTzCgudHOHCgMvq6JZPm6Cu9pGSY3FDZ/NNtdCxexMCBgxX9W+d0oE50DYbxviNkB6quQ2g/yA4c\nrWlvWbBsRhbo8b7DNeO7Le2IkyA3WNuenr/UCIYp0Ij30Sbg0wTlON9GUJ+5kbjXLHClqg6LiAv8\nSET+TVWfKOvzbuDs8PEm4Evh3zOCyCAr1QqBUKTgKxHNFHwl5ynJiOpfrm0xJyXkPEVRXMvCjlEX\nFHw/NhV23N1iuYAqn0/er4ywdnPr+cT7b2Xr1ol+u7yPcvXYFuKiMiRt0fa2+UhZhlQrYZFY3kLi\n7DZyz1eWu7S6XJJrMhWLgIhgtdi0Xbmgws3USli4K1pIvLq1Zsdw+MaP0POvnw4W+BCv4DHU249X\n/Q9QpTA+zNHu4Qq3Ua/gMdI3xG/P+SqZuydUNlffsIaHH9kVKxjclgztK9aQHx2CcMdRyI2j/bX5\nhhRg9CiOu7Tic3kLbQ79qDaL69jwOC5+5T9TlcLYMPlMF+0rz4GxY6gqdksnakXnLPIL+QqBUBpn\ndJBCdRZxVQpjQ3jjI+FOaOr4+VyFQCiOnx8ZoOa2RZX86CCJ8TkzVqPiTKKRxT2tqv9N4KnUrap/\nAqyf5D1oQPGX64aP6lXkfcDmsO8TQKeIRDhHn3707D6GX/CCmIS195fao4rYT0Y9I7GIkHQsUo4d\nKxCCMWbOC20qRutq3BUtaMScJGGRPKd2gUm/NrpqmUh0UJiVsEq7inL8o09GxinUCIQiqpEJ7ryC\nx7FU5SrZv3kvF1776Zq+FfO1bBJtnSTau7Acl1x/dJpuAQ7tq1X79B7uazoyujA6iFgu0roQq21R\nrECAOrWn41ANvKamSf3zRnx3Q8FgaJ6G7vhFxAJeEJGNIvIbBGm0J0VEbBH5OXAY+I6q/qSqy1KC\nXEpF9odt1ePcJCLbRGTbwOjplaB11UhlRNVUNrszsUM+6TbZ1SXXQtRXNCLpkuZi+mt0quq4cbCT\nM3YxHJl+yRGpk6AwKnmhbVnNz18az44b9G3yBE1k360/RpPnbeZzGUo0oj76ONAC/D7wOeBK4P9q\nZHBV9YDXikgn8A0RuUBVf9nsJFX1HuAeCOIUmn3/yciS1V307D7G1ke7uT99XWm34EzB4DtZBHF5\nnYIi1bEQSVsYm6Gay6mqojh3br+OY4/6Tf2mc92j0RfBU8afrb0DHP1pHy2XxnjJeFrrZeMp488O\n1HS15r8Z4aHadtuKvNtWBNsW/KqdhGVbzO1L4y5Pk7qoA0lYZHcOQRgGWBgbITd0LEiF3daB29qB\niNAxJ8mipS3YtsWRQ6N4+cUM76+thKvAygtqzXrzl8yLvG6WbeH7WmvcFyGRady11m1pYyzu2xkV\nHS1Com0OhbFhskN94Gv4edub0ve7LRnGiLYBxZ/XRFJPhUZyH/0MINwt/L6qRsf61x+jX0T+B/g1\noFwovAIsL3u9LGw7I1iyuqvkklpERMgkbYayXsVPL+1Y+KqREcpxAWxQlo20ivXbbuXxdbeXXluW\nRatbm1nVEWhJRM/HtSWy3Sm7M6yIU2imnq+nDDz4Ch0fXFoSJmILIz/spXBgvLZ/zif7wjDJs4NN\nrIigqvijHtkXhklf1FHR7g0VKmokdN4QFKb/0pbDvHnBApzhw2j4ydRXdN46Um1zKez9DoRH1Ffm\nn3MhnjOf/p3fq2g/54LVdOU7aHljF7iBR5a7soUV8mN2yhAjhyZqNxfGR8gN9XPepReyfFUGyw76\nd3YlWbiklZ8N9JILS2yG2a0Z1QWcfd6ykuqq+Llk1Oc8dxk7ZD/FN6gq81ctZ3hEGDlUHu2tpLoW\nYScar3kglk3rwhWMHCrf4IfjuInI9txwH7nBY2Wfd5j8cD8tC1c0LBjiz7sYy3UZjWg3gXNToxHv\no3UExuZM+HoA+IiqPjnJ++YD+VAgpAlqMdxe1e1bwEYR2UJgYB5Q1WaqTZ6WOJZFZ0rI+1oqjgPQ\nHxFxrBBpaM4ntrLiF6sis5EWdyhrW7dzoCylRtKxcS1h3Av05MmyBb56Plb4Y45rr2YqqbALPeP0\n3rmbxKqWILK4exQdrU0fDiCtNsnVrTWGZnEt0hd21Bqg2xwS57SR2zXMkZtvCQPTYI2zi4EBG3Q+\nc+cK89e8kXn//QsS48fourkDnys4sr8Xr+Axb+lcXNtBbPDfENUuSJnB3UpYyPABEozUGEy97BhJ\naxzbmbCN2I5FW8YlPWcefYM2CQYR9XnB+y0+Io8H41V/rnaXOekMF3cvZ2SJz8hrLubFnzzB7hdz\nLFndRfuKNRTGhlFVnHQrlt18phsn3RY7TnU7vh/WcKgyTI+PUBgbxm2J9nCa7nmn8rkMAY1cuX8G\n/peq/hBARC4nEBKvmeR9i4Evi4hNYLv4mqo+KiK/C6CqdwHfJnBHfZHAJTU6LeZpznUP+tzJdRUG\n58D3feIHX894m/N8khF1jB+6bz/np2ojb5es7uJgdz/bH/gcOwsbeMMdBdxc4DtgWVZkTYXq+UzW\nDpW7BJgoMRrcvvqN5SjyNIhNmIREaJiWqm+0lbAiDdZWwiJ5diAUvn7fXs5L1qbfWHTlp0ous+75\nLagHdtJm0aoFFWOp52M70e3VOrO+niNYtuBXz0l9DnYfZvHqhRXNbsLm0rcuxx+Y8L/o3/xD3Ava\nI1N8Wwkr8Kp6aYTMXpvM3l9wbsnrqbdqPvGG2MkC1sSycFvbJ23PjRyr6QOEBu6hpoRCM+c1TJ1G\nhIJXFAgAqvojEZlU+6yqzwCvi2i/q+y5Ar/X4FxPS5acNZeel3q57kGftv9zWWzeo3qb7Kib87f+\n+AcMOd1AtLGztACGFc5W7PlCxfF6+ZfqkU9sZc51wVj3bbycrXRjOTY9u3vZVdgQpGSA2AyoU0Wz\n0TuIyAyjYbs/5nHk5ltY88BniLpOX79vL7fdsIL+zXvRrE+Usl79GEO2Fx1abLt2ZDuAm6j9Oaqn\nZJ8dZOR7lV5ImvVjzxvMdYL+zXu5+oY1pbxNk1EvnqJprOLnjTR0TH98w4zTiFD4vojcDXyV4D/7\nIeB7InIxgAk2mz5LzppLz+5e9q5aXqPrL1LPAF1t2L1k260ltdFk+XmKQmlvld1h/bZb+cGlb23q\nc9z99H1c96DPUDjW3q3dQV2DcL3+2PCWUo6emaBoBwDo/5e9aEE5dPAwe57bh5cvsHj1IpaftQRL\nLMSuWoA8pefs3+C5r95GUsZIujbZAY9EZg5iWcGCuHsTf/bwBm67Afrv2wdRmzVPI3co+Irv+RzZ\nd4zuHcF8lpy1mEWrFwUG3wgWv3oxO376PHt37Ed9n/nL53Hh5WsZf3aQxKtbSb+uE1wh+9wQ488N\nRX8Z/GhDfP/mvcznDhJntwXuu044zi8HayIWry7bWTRlB4ogMBBHIILb1kF+ZJBsaG9w2zpIZDqR\nJr2GNHSrzQ4GVeQSmU7ctk4TuDZFJs2SGhqI41BVvXJmp1Sf0zVLKkykfqhW6RQp+MpQtlCxFrQ4\nFqmqammLd2xn+9c+P+U7vUZTUMRhOXZNOueZpPOGFUE9BWdT0BDWEfjl1mc5KP14oarNsi1arCSX\nvHsdiYXp0iKhquApP3rMp3/ndyeKyYhgu0lal7wKEYuD3f3syN3Ibb/xI/o378VZmAwM346ABobv\nof88TPpNnThzkxXjq6f8fPM2DjFQinGwHItEKh1UXavyoRfHxbItvGyVy7UIv/rBt+K2JLASwWLp\n53y8w1mGv3uEjmuWBKHlxfn8+yGyz0X7grS+fT6p13RUjTNO//37awRM+TWOKmbUDIXxUUYP7S2L\n51DSc5cEqTKG+ye+ayLYyTSti1Y1taCPHnklCGKb5jinO9POklpEVd82M1MyTEZ10fr7P3hfhZ3B\nsYTOlEPBD7xcHKvWsFusbDad4IXpqA3KayN8bHhLQ4VtGqG4SAGseWQTa5xdpbvYnt3H+MYjz5GS\nASyprHE86o1zZKifZYsmykGKCKNj4wy++FhldTFVvHyW/MhgpDtj4VCW3r/bjbssjbgW+f2j2POS\nFQKhNP7oGAe9fvwy4eoXfMaHo+0j6hXwIiLEUeWF7S9zwWXnlZqshAULkljtDr137sZdnkYci9y+\n0dj4DqvTJX1RR0Xt6WCcVGSEeLFmxZfaNnCePb1/opNqIbNiDd74SGAITrXiF/KM9fZEGtwLo0MN\n2we8XLZSIJSP06Qh2xAw6T5NRBaKyD+JyL+Fr88XkY/O/tTOXIqeOtc96NN242W03XgZ+USQI0Ik\nyF2UsK0KgZBPbOXHf/QfpVKXJyKzZTFK+8JrP13K7z9TvJC+ljXOJs5Lbg4/34RaY8nqLhy7gEit\nfsdHOdR9uKa971AfVpQrb2gAjUUhv2+M3O4RNKekLohevPoO9iOTVaCrOm8ch/bWRi5bCYvE6tZg\nPnuD+cQJBIDE8nTkKYJxZr9+sojgpNtwWzKIZeGNxzgPhKk3GqVQb5zRJqOvDUBjNoV7CbyN/nf4\n+nngAeCfZmlOBirtDAB88ivc/8H7uPl119f0Leryz3Wm5vo5Exyf2gjxNhLFClQgEet8sqXWX91J\nuPFnseOPVeMPR/tcOElnxnKUu8na+WhB8Ucajzb0x7xIwaMFH38k2kg/mwQ2nphU4U24k0qsIVtq\n7UiGhmjk6s9T1a+JyG0AqloQkeP/LToDKb8bLnooDT34lZp+1xX7nyCBUKQRgZA8L0Pq4k6shJDd\nOczYk32xKSrKOXtsC8+q1tZkLqIOLS0ZvPFKXb2lwoo1QZBXuYpn3tIusBJA7cKayMyJn//5GdIX\ndyKuML5jiNGn+2i5fG7N+POXzcPztFiVshLLAr9qV1OnVvJZF62uHUeV8Wcaz+2Te3kUPGrmidLU\nODOFk87ErOXNRSK7LRnGomVC3f+jIZ5GhMKIiMwlvOwi8magNj+AYVY50Qv+TFBt6LTmJEien6Hv\ny3shSp9eRtGtsm6f3cd4pvsFcuP50hp7wevOwf/+ELyvDS0rXD/+5ABuQvBq7brYCbtU+xidWLzb\n3rmA1Np2JJx/65wEqfPbGXykh/b3LilFQAM88YuFjOtc0k4f6hcobmHS85aQHx6gMFalohIbK+Hi\nZ6t9dSyefXqAzgVzcJIpEo6H5n2Gth7C78/XvR4VeEr/ln10XLMUKau4N/ToQfyBJsaZIcSyaFu0\nipFDe9EyAdmyYBmWm5iZcZzGd3yGCRoRCv8vQeTxWSLyGDAfuGZWZ2U47bAyDunXdlSmwnYtaHdJ\nnZ9p6G61nheT1e4w73dWceWlixnsHaKQ9+ic3474wvCBwxz9ixdInpdBUhbj24cY6coznq3VR6uC\njPbiF5wKY7nV6ZK6oL3CUCuuhdXhIo7F0f/zAsnzM0jS4pU3bmD/T/8My3HJLD8bPzeOqo+dTAcG\n1qMRmVzUw89GqINEce0cTz1xmLHBUc5+50dpu/ufowtfTIJ3JMexL72MsygJtlA4mJ3SODOFnUyT\nWX4OXm4cwuvTrDtq7TiKnUxNaRxDQCPeR0+JyK8Aawhud3ap6vG/tTCc0rhLU7ERx+7q1mmrMNyl\nadRTLMeiY16l8Tfxqlayzw6S3TFxd97XPhZXcIzRoWEuvPYvKwLs3KWp+AjiV7WS3T5E9rkhjtx8\nS6mwfdH+YSfTpf7eeKTXfryhOTS8Jto66Ts6zlc2j/CxOgt5RexGjBAtHGws03DnDSvg4Ya6ThkR\nwSm7Pid6HEMd7yMReYOILILAjgC8HvhT4IsiYoq2GpoizpipnuIPTv8eI87oGjd+wo9XLaRcp8Y2\nEjv/go8Xjv+ltmt5dstn6np/BUbU5gzQRcO3ZVuscTbxpbZrKxb/IkduvoWHH9nFw9/axcOP7OLI\nzbc0dZ5yivWp1zibphWjYDj1qLdTuBt4B4CIvBX4c+D/Bl5LkMbaqJAMDZPfN4aO+ahrVRax8ZXx\np5s3UaUu6iD9+sDgm901zOhPjqHj0eOP/WKA1Gs7JgzEO4eZ/9OjvJwmMip4ea7WfpPvHkVztePn\n1eGfXrgcp/05LrLuQARSbZ2o50V6vzjpVsSywrxIZYgE+f99r6Y9GRpMS4vz7k08/AjsaqtMFbYm\nFEiLVnZysLufZ7d8pqZPI8GEEwkC5YS4NjeLqpId7CU/1IeqkmjtINk5L/RMMjRLPaFgq2oxm9WH\ngHtU9SHgobBwjsHQFP1b9tFx9RLsOYkgZ5APQ1sP4vU1t1Noe89CkmsyJYN1+vWdJNe00f/1/XS8\ndwl2pxuM7wXjt1zaReqcTMlA3LIu6H/x7laefnp7RX6kV79mNW2PQY20UOi/f38w/04XbGE067Dt\nf15gxfj3sO2x0v1/bvAYhdEh2paeVVMkR0RoXbyK0UN78Qt5IEiTnZ6/LEwBHdVeaXgt1rk+z6kO\nKpuIPC4KhvI+vufz8CPKhTfXr/727CkkEABGD+0N4hVCFVx2sJf86BBtS1cb28IUqCsURMQJVUdv\nB25q8H0GQyT+QIG+TXuxOl3EFbyjueaqCREafM/NVBp8HQtpcUgsbaHvn7srxrc7XVJravtbrQ6L\nX7uEJa9fypH9R8ln8yxauRB8GOk/wvgvancvfn+evn/upnPDSr77/T0M9I2zYGkbjoxXfQ7F9/Lk\nRwYi3SJtN0lm2dl4+Sz4ipWYiIgutatiuZWR0uU0otKJ6tOz+xjPPvDZuu8r7jZOBbzsWIVAAEAV\nv5AjPzJEoi26TKshnnqL+1cJkuEdBcaAYursV2NcUg3ToClXyircxfEGX3dlC+O/GKgY36nTv5ja\nev6yeZXnWJGOFApQrVqZS26oP3qiqhTGRur6yttudBGYuPaZ4FS5+2+UQnYs+sZCNYiaNkKhaWKF\ngqr+qYj8N0FdhP/UiWxWFoFtwWA47vhDEz7/5WjBx+vPNd7fi0k9XfDxJhNaZaoVyykajiNqNrjG\nT362sWwnthynOI3HOxgmqKsGUtUnItqeb2RgEVkObAYWEvxi7lHVv67qcwXwCPBy2PSwqtbf2xqO\nO6pKtlgS0vdxWjKk5iwoBQcd7O6nYlEUSL9hDunXhYbgF4cZ/WHvjKRTyO8fwx8pIK5baVBWGH9m\ngPSbwvM6wXlHftBLYThH9/ZX2LtzP17BY+Gqhay5aDUuDlYblTmKfGJ3CZ03rCjtEorYqVbEttFC\nreE4kYm7K/dJMsTgoSP4vk9mfhfqduHpzOi/VX2y/UfJDQWppN3WdpJzFpyW1cicMJdSjeGe5mpP\nGyaYzW9JAfhEGOeQAZ4Uke+o6nNV/X6oqlfN4jwM02T0yP4gSVx4N5Yf7qcwNkxm6as5tH+olCa7\n6Nef+fVFJF7dFgSnAakLOkisbqPvH/egufgKco3i9QW2giKqip/3abtyPu6q1qrztvKTr/6EfmsM\nP4x43b/rFQ7vOczlV74BZ8gOgrk0yA809OhB/MFa99aii2a1AVZEaFv8KkYP7wuCpwCxHFrmL42N\nqCjk69IAABctSURBVJWxQxw90o8fLmTHXjlMItVPeuFZ1Cq6mmf00L4KPXtuqI98+P+qNnyf6gSG\n++D6+/kg/sKyncBAfxoKwePBrF21sNbygfD5kIjsAJYC1ULBcBLj5bMVAqGI+h7ZoT7AYZf3UW67\n+kf0bwZ7jkvy1W2Vhl1bkKRF6jXtjG2L0cE3iN3lkljRUrFLEBEsN8gaWn7XL7YwMjZGv4xWFLZR\nVcbHcnz70Wc479o7WHDXFxHHmjzdg0Tr5C3HpW3J6sBrSBVx3FgDsevkOVYmECCo3lbIFUhYI2T9\ntkYvRSSRhleC1Nxxhu9THdtNkFl6VkPX3zA5x+W2QURWEZTm/EnE4UtF5BkR+TcRWRtx3HAC8bLj\nRAZbqeJlR2uanYXJyBKYVsLCWTb9iFNnYSpy/HIhVM7gwHBkvIAI2FaBZ7d8hr+XD/J33gdig71K\nu4RJsBwXy03UXZBszUce9woe3njt9WyW4m6lBlUKMzD+yUwj198wObO+vxKRNuAh4P9R1epcBk8B\nK1R1WETeA3wTODtijJsIXWIXtptQ9uNJ4CMfkXIZGBtVfPUrksZ5A4XIlNFa8PGO1RqCm8UbzEeP\n7/lB3qKq9nRbihp1MwBCa2cr+UG75Mv/7BaPXW0bKmpBzHQg10CMEduyLQq+HdpnAqbiFhqorKLT\nhjaTaM5w5jKrQkFEXAKBcJ+q1mRRKRcSqvptEfl7EZmnqker+t1DEEXNmsVzTlwGr5OU8oWknJnw\nNbcTKSw3GehrK1QSwq78DeToqIiSLRwYx+/LIXOTiDOxRKvPlCKXqym8Mo4/mEfmVt0R+gTtnQnE\nnmifs6CTrHaQoLdSYISG4EVzJvT+B7v7WSOb+FJbUEb0hfS1MxrI1bO7F1SZ25HCHx4tK08JYglP\nHvkNBrPB/2yNvYme3ceaPq+dasWyHfxClQAWOS1VR4aZZ9aEggS/2H8Cdqjq/xfTZxFwSFVVRN5I\noM6KSZhviCJYaGBnoTKdwbnOJnpe6m045XbP7mPERZK9+W1rOfhSN0dfCf41LZk0F7z1tVzytf9A\nx/2akpv9D+wn855FJF7VGqiZBgoMfftg6B46faSlUh2kquAIg/96kNa3zCWxKjxveFe+K/9h1jpf\nwiZYKC3XJT2v1hBckUbiWwCfmXYgV/l1LdasPvJQN3sW9dPXHwjJ1tY0q8fns+7Iv5fed+TmT/Ps\nls/Qs7u3oq7GZJQipo+8UlJHWW4iMHwbw6uhAWbzW3IZ8GHg2bK0GJ8EVgCo6l0E+ZM+JiIFggC5\na1Xj0kUaihSrnBVZsWcfXfe+q6LPndu/zHUP+vS8NCFj4wREedW0s8eqymjagjM/wcpz5lHIF/A9\nn0QqgZ/3GX1tB2NP9NWMp2M+gw/1IAkBW9Cx6XscFUmc3YqVtmtqIqsqrZd1Mfj1yvN23rCCAq3k\nrHksXJ5BVSddHJtZhOtRFNhXvy+oA9G/OUjD7SKc/dIc/EQnvgVOb606bP7dd3D1DWuCutS7N2HZ\njQsny3FpW7wK9b2GPq/BUM5seh/9iEnSQarqncCdszWH05HiQrP+qpVcn94HwMa1j9X027j2fvKv\n28rdT98HUBIQ1YLhYHc/qHL1+9bQf/cdVCuikue20fZrC5GkjeM6EN5cW66FuzjNGLVCoUhQUW1y\nGd95wwpeSF9bel2vepu7MrqesIhgL0zVPa9Y9gw4fNanqMoruunWS0Bn5aSup0f/5r18jL18qW0D\na7i36bkcj89rOP0wtxCnEEWBsGLPPh5ft4WNk/R3c+vZuHY9APnXbeVntzjw0qYawbDL20D/5i1R\nQ+Adi/aW0YJP4UhjefnrMWHIDWMWNUjYFicY4moBqCr+DBiyp0Px/7PLC1R5xQI90+Wa61fw7ANm\nA204PhihcIqx/qqVPL6ucgFXVUbzHtmw+IpjCa2ujV3my+/m/v/27j3Izrq+4/j7c87Zzea+IeGS\nTbJcLF1EsdwGEbxgrY4XRuyYlgiags5A0Tq1VqmXqYiOMGrHaZVpEIUgNhIkRM0AFbEKaq1aQJoQ\ncAUjCSHEJMRsWEL2dr7943n2YTc5Z/fs5dmT3XxeMzuc85znnPM9u+R8n9/t+3sbD73rIk66fWTv\n17uji96dXZSOnpbtmhYRRF+w/5G9zHrjUTS9fA6URM+WfXTeu4O+3bXVNhq4IU3/gGrSB19dV/qe\nNJAlq/4ex+d+VGXXnJz1b935YsugcoLtp0Yx8/VH0vSyOVAQ3ZuT31u1mlAnvrCaNb2XjrgbyWw0\nptbyxsPUc90vJgSA3nKwt6uX8jgNz3R8+2m62juJ3kgWWm3vouNbW5n95qNpOiXZs1gF0dA6g+b3\ntB40EFxJLRvSVNO78+C5+NFdJjqrDGRHmXJfX9VZWmOxbdNuyr1JQkhaBkPvVQAw968XZ1t7qiga\nj5vBvPe0Dto7eaA9t2zhis7VtB8wmcAsD04Kk1xfOeitsJgrgP0H1uOpoq24cshduqK7zHN3bmfX\nlx5n15eeYM8tW4gIGlqaBq9cLggVxfQ/G7oy5c7Lr6SttHJUM3tKR02j4cimgwaaKYimCu878Au1\nXHnBwqj113w6ZdlVg9Y2DKW0sInikdMG7VWtgqAkmk6ZM8QzzSaGk8Ik1zdEa6CvQrI40DHHNoPE\nhtVXD799Y5Bt9F6a31h1ZXHpmFpKP2tU3SDF+Y1UmqBWaChQOqqp6vOWXnzw9pXjob330oNnbA2h\nOL/yArJCY4Hi0fmVzDarlZPCJFccqqRCoba5Jy0nHFFxlfBQend1D65Smoqecs0bw49G37PdFQe+\nyz1lendUKfEw7oLtTybdRksvbh2+y6gApAvq+p7trjgjqNxdpu8P+f3ezGrlpDDJFQuiVOHLWUBT\naWR/3ppaC6m+Xd30PP0C0TO4sFv0JXsiV5MNLo9S744uerbvH1SqOsoBvVG15PV4KahMsesP7N38\nGNN5hoVHdTN7zeernq+mArMvWMiCD5/Igg//Cc3vXpIkzZ1dlePfcGAVGLOJ56Qwydx152au23jR\noGOzG4tMG1DaoVQQc6aVKBxwRf25wiervm5/a2EkiaHjjm3sX99BubtMlIOezfvY880txL7K+yY0\nL29lzaotw5aNWLNqC83Lq3f3dKx5mv3r9yaDy31Bd//7Vlkkl73vGEQEPbuf4o/bn02+xAP27trN\nxuJWemdU7qZrXraYaSfOTKrEFkRpYRPNFy9h77pn2P/IXqInjf/3+/jjN7cQXdXHPHZefiVtxZVj\n+gxmtfCU1Emk5YT5bPvds1x0e5lZXzyXzpuTRWuSmNlYYmaV5/U0JmsUTkoHd6u//hFs37yHDauv\nPqgwXEW9QecPd9L5wxFMBVWBQrH6tUjLCUfAppVcu/ZSPr6cyl0zPUHnvTvovHfHsG/XvLyVa9ee\nQ1tp5ZhWKk9r6GF35wsHjaOUy2V2L+rmqMcHjweUFjVRmNc4uJR3IVlpPe2ls+m8Zwed9wwfPwye\nuuvpqJY3txQmmZaXzAfBluOW8KoH/mnY86/beBHPfeKbnFRKFq0N96VyzLHNFEpF2korWTFr2ZBX\n7HkpFIugcfxfU4XkNcegEJWnu5b7yuzj4LGA4rzK1WXVUKB05CgGlMepKJ/ZcJwUJqGWE+aDxF13\nbmbhYxtZ+NhGZl1ybvZ4T+Nd2fGLbk+6JGotjAdJYmg5YT5tpZWs/V77uCSG7Iq9eGNNV7ttxRu5\ndu05Y3rvge85VmUaKs56KhYLzCofPOupb2cXqrQ3dHeZnm21D4iPdQzGbKQ02erPtS2cFze89w31\nDuOQkKykLQOR1UPacN3P2HLckuSEdExhLFeY2zbtpr33kiFr+NRixaxlI+7C6S8bccqyq4ChayId\n6MXtM8evwB3PP81zz+59cb2DoHFaI694toVi98EJYO6Fi2hYND1byxHlIPb1sftrtW1LWmnFt9lo\nnXfNHQ9GxJnDnecxhUls4BX3tk27uevOzZAmhJG0DIZSKBaS3bbHxcimvbacMJ9tm3az4bbPAEF7\nus/BcB6fvmxcN8bJzFzI/Bkz2PPMTsp9ZeYtbqX1iaiYEAA61mxjxqvnM/0Vc6BUoPuJTp6/b1dN\nCWHFrGW0rR576W6zkXJSmCLyuJLsL6m99OJW9ny19gValSy9uJUNq2PEG8cMOjfb52A4eV1dF+jW\nPGa0zGP75j3s3fQCP4hLuYIqv5u+YN/9u9h3/67Kj1cwcGDcdY6sHpwUbAhJCYeRdNtU078/wNp1\n7WzfvGdUX3bj1g00Do45tjkpc1Eu0Ly8hgVsNeivGNtWaj+kPqsdXjzQbBUlrQRqKuGgmUUKzQ3D\nngfkUoOontqKNw7aC2K0Bo8fOCFY/eSWFCQtkfRjSY9K2ijp7yucI0lflvSEpPWSTs8rHqvdwJ3Y\nhroCLswqMveixcz/2+M54r3HcsT7j6+6CQ4kaw6WXtwKEcOWyJ4Mjjm2mUKxyIbVV2fTd0cyW6r/\n/LFUjDUbb3m2FHqBf4yIk4GzgQ9IOvmAc94CnJj+XAasyDEeG4Fauo3mLltCQ8t0VCqghgLF2Q3M\nfWfLkK2GI7/6hWw20VQwcF3H2nXtrP1ee00rwndefiVrv9fO2nXto64Ya5aHPLfjfAZ4Jr39nKTH\ngEXAowNOuwC4Jd2X+ReSmiUtTJ9rh7DSoiYKs0qoeMDMG4npp83l+R/XPrg62Q38Mh+4Inwonllk\nh6oJGWiWdBxwGvDLAx5aBDw14P7W9NigpCDpMpKWBEfPmZ5XmDYChVklKq7YLYni3NrGF6ai/gHo\nl5aG24fTCcEOTbknBUmzgDuAD0XEqMpARsQNwA2QLF4bx/CsijWrtnDFEI/3bt9/cCuBZMVu9+Z9\n+QU2CfjL3iazXGcfSWogSQirImJthVOeBpYMuL84PWZ1VCgWhq19VO7oZf/GvZQHLMSK3jLlfX3s\nf8QloM0mq9xaCkp2QrkReCwivlTltHXA30laDbwS6PB4Qv1lV7qbVgJtVc/r/P4OerftZ/oZ81Cj\n6GrvZN8vdkNP9cbcwKmXZnboybP76FzgPcAGSQ+nxz4BtAJExPXA3cBbgSeAfYB3Jp9k9q/fy/71\ntbUMmpe3smLVFtpKruVjdqjKc/bRzxim2E066+gDecVgY/f49GUcydhXNPfrL99gZocmr2i2IYxs\nJ7ah9M/LB28UY3Yoc1KwqlpOOIJC6cUVu6PlEtBmk4cL4tmQ+ufdt2klK2ZdmpSpGODAVc/Ny1sH\n1QJas2qLF2qZTSJOCjasF2cj3cyG2wY8EMEpl1+VFc17cR+Dz2SntJVwCWizScRJwWp2YNfP9s17\n2HDb1WzIjriLyGyyc1KwUfPVv9nU44FmMzPLOCmYmVnGScHMzDJOCmZmlnFSMDOzjJOCmZllnBTM\nzCzjpGBmZhknBTMzyzgpmJlZJrekIOkmSTskPVLl8fMkdUh6OP35VF6xmJlZbfKsfXQzcB1wyxDn\n/DQizs8xBjMzG4HcWgoR8RNgd16vb2Zm46/eYwrnSFov6T8lvazaSZIuk/SApAc69nVNZHxmZoeV\neiaFh4DWiHgF8BXgu9VOjIgbIuLMiDhz7oxpExagmdnhpm5JISL2RkRnevtuoEHSgnrFY2ZmdUwK\nko6RpPT2WWksz9YrHjMzy3H2kaRbgfOABZK2AlcBDQARcT2wFLhCUi/wArAsIiKveMzMbHi5JYWI\neNcwj19HMmXVzMwOEfWefWRmZocQJwUzM8s4KZiZWcZJwczMMk4KZmaWcVIwM7OMk4KZmWWcFMzM\nLOOkYGZmGScFMzPLOCmYmVnGScHMzDJOCmZmlnFSMDOzjJOCmZllnBTMzCyTW1KQdJOkHZIeqfK4\nJH1Z0hOS1ks6Pa9YzMysNnm2FG4G3jzE428BTkx/LgNW5BiLmZnVILekEBE/AXYPccoFwC2R+AXQ\nLGlhXvGYmdnwctujuQaLgKcG3N+aHnvmwBMlXUbSmgDoPO+aO9rzD2/MFgC76h3EBPLnndr8eSe/\nY2s5qZ5JoWYRcQNwQ73jGAlJD0TEmfWOY6L4805t/ryHj3rOPnoaWDLg/uL0mJmZ1Uk9k8I6YHk6\nC+lsoCMiDuo6MjOziZNb95GkW4HzgAWStgJXAQ0AEXE9cDfwVuAJYB9waV6x1Mmk6u4aB/68U5s/\n72FCEVHvGMzM7BDhFc1mZpZxUjAzs4yTQg4kFSX9WtKd9Y5lIkh6UtIGSQ9LeqDe8eRNUrOkNZJ+\nI+kxSa+qd0x5kdSW/l37f/ZK+lC948qLpH+QtFHSI5JuldRU75gmmscUciDpw8CZwJyIOL/e8eRN\n0pPAmREx1Rb7VCTpG8BPI+LrkhqBGRGxp95x5U1SkWTa+CsjYnO94xlvkhYBPwNOjogXJH0buDsi\nbq5vZBPLLYVxJmkx8Dbg6/WOxcafpLnAa4EbASKi+3BICKk3AL+biglhgBIwXVIJmAFsq3M8E85J\nYfz9K3AlUK53IBMogB9KejAtSTKVHQ/sBFamXYRflzSz3kFNkGXArfUOIi8R8TTwL8AWknI7HRHx\ng/pGNfGcFMaRpPOBHRHxYL1jmWCvjohTSSrffkDSa+sdUI5KwOnAiog4DXge+Fh9Q8pf2k32duD2\neseSF0nzSAp1Hg+0ADMlvbu+UU08J4XxdS7w9rSPfTXw55L+o74h5S+9wiIidgDfAc6qb0S52gps\njYhfpvfXkCSJqe4twEMR8Yd6B5KjvwB+HxE7I6IHWAucU+eYJpyTwjiKiI9HxOKIOI6kqf2jiJjS\nVxqSZkqa3X8beBNQcWOlqSAitgNPSWpLD70BeLSOIU2UdzGFu45SW4CzJc2QJJK/7WN1jmnCTYoq\nqXZIOxr4TvJviBLwrYj4fn1Dyt0HgVVpl8ompl6JlkHSZP9G4PJ6x5KniPilpDXAQ0Av8GsOw3IX\nnpJqZmYZdx+ZmVnGScHMzDJOCmZmlnFSMDOzjJOCmZllnBRsypH0ybTS5fq0sucrx/n1z6tUAbfa\n8XF4v3dIOnnA/fskHZabylv+vE7BppS0jPX5wOkR0SVpAdBY57DG6h3AnRwei+SsztxSsKlmIbAr\nIroAImJXRGwDkHSGpPvTwn33SFqYHr9P0r+lrYpHJJ2VHj9L0v+khe9+PmAV87DSld43SfpV+vwL\n0uOXSFor6fuSHpf0hQHPeZ+k36bP+Zqk6ySdQ1Jz6ItpfC9JT/+r9LzfSnrNePzizMBJwaaeHwBL\n0i/Lf5f0OgBJDcBXgKURcQZwE/C5Ac+bkRb1e3/6GMBvgNekhe8+BVwzgjg+SVLm5Czg9SRf6v3V\nVE8FLgROAS6UtERSC/DPwNkkNbROAoiInwPrgI9GxKkR8bv0NUrpa38IuGoEcZkNyd1HNqVERKek\nM4DXkHwZ3ybpY8ADwMuBe9OSHEWS8sj9bk2f/xNJcyQ1A7OBb0g6kaQ8eMMIQnkTSXHEj6T3m4DW\n9PZ/RUQHgKRHgWOBBcD9EbE7PX478KdDvP7a9L8PAseNIC6zITkp2JQTEX3AfcB9kjYAf0Py5bkx\nIqptnXlgvZcAPgv8OCL+UtJx6WvWSsA7I6J90MFk0LtrwKE+RvfvsP81Rvt8s4rcfWRTSrqn8IkD\nDp0KbAbagSP791OW1CDpZQPOuzA9/mqSzVU6gLkk208CXDLCUO4BPphW20TSacOc/7/A6yTNS3f9\neueAx54jabWY5c5JwaaaWSRdPo9KWg+cDHw6IrqBpcDnJf0f8DCDa+Xvl/Rr4HrgfemxLwDXpsdH\nejX+WZLupvWSNqb3q0r3pLgG+BXw38CTQEf68Grgo+mA9Usqv4LZ+HCVVDvsSboP+EhEPFDnOGal\nYyIlks2KboqI79QzJjv8uKVgduj4tKSHSTYp+j3w3TrHY4chtxTMzCzjloKZmWWcFMzMLOOkYGZm\nGScFMzPLOCmYmVnm/wFJBBFmMxOpygAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ecefd588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=1,gamma=100).fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel and gamma = 100')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ROj1ufOJW0fOZqvAcT8/XQKscuF6gWEBfkqYVg4jUzVBO2ZCfZR5J2PPLOG6G\nhUYWzSZ5cZbeV28gaqBA5oVDFB4bZ/LrJxq+bnT3gaiC6p/XnROozdrt53Dquf2oKhootmMxuGEt\nBGVGnnsGFAINsCyLoc3rmJyyKJw5Gm0ClOLYKRLZQVJrNtT8vzuJFE5PP97UWNW45SZQhInDT1es\nc5JE7yBWIkXh9NGa8XMuP58LLhkABBHYem4vRw9O8bOnqteepjgxEq0TfrnCdYaqzGeG5U8z5qPL\ngZcCP09YLfUgxny06NTLUC75SsLWmlpEqlqlECrnxxEQJoxlmryZV9W6Gcq2bdPvSLRD0ZmS1p0o\nodxuhSAJi95Xb0Aqm0VYQvLyPor7JigfWHjWcTHIMLj9IuxgKsxncHvwfJszz+0jqMg2D/yAM4dP\nVI0BUaLbCG62DydVG7HUs24LXn6QwsjJKCR1CDeTZeLgk9XhsFGrzJoQ2Wh8zZBgV+3uhI1bezh1\nIs/EWKnqJYHvVSmEs+ucwe3pw0llWv2YDEtEM+ajvyCMOPpb4Aeqaqp3LQHlQOvWFCp6QY1pZl6O\nYC+oWxcpTp56lCKHctrqTCzCdL+DwV3vXXCo6WzcczNo9FlXIq6QvLS3OaWgOmevBS+w8egLdyMe\npJxcrNKsUQgV5yhPjsUqBQAn3UO2IsS1NDlad51640eeOcraTdWOaUuE4fXpGqXg5SaJrXqlSnlq\nzCiFLqIZ85FJXlsm1LsMr6YeJtmbrgOYuWi3M7KoIUpTPtyZJjz3tNiER4UaTdR26t1WNJjezNgM\nxsm9ElhYRxLDotHIHh/nwJ2P/T7pWPiBUozMPokKs08hqliqQMISUg02AckOOJTb7Uiue56fTYUh\no7PxlOLeiabWGL7j/ezL3swlTvNNeIpBEo3ZfYklseOI4GbrK5yengDLm0KDADuVZcRrMcMa2HzB\nxpqxIFBOHMvVjDuZbHwpyznkNCw/OhcOYmgrImE10NnUc+CKCMmYzF8hLGE9GwsQVcaKHgUvoOgr\nE9M9kPNlct7ZqqilQBkvK5mY9ZO2tKUlZiWLpRAAtKSMf/koWg4IygHqB2g5IP/IKOVDnatiqmqR\nGarNIUikU6TWbg4v3tNbQhESUWJcHAM9eY49sY9D+w5w+MlDHP7JU/Q4Y6TWbKpZJ9m3hmRvrQnK\ndmyOHfPw/SB6KL4fcHj/JJPjtRZky3ZIr41bfy2OKfLXVZidQheRsC0GUlIRYlq/J7GqUoxxKoeZ\nyjYpoSJOYQjIAAAgAElEQVQk1SJhCyMxxYYa+Q7KCgMppyl55ku7HcnNUHp6itO3/4zkRVkkYVF6\nZgr/dGnuF84i8OP7LMTP9Zg8WZuJXMwV6Ol16N16EeWpcdAAJ92LnUjGrpNIKAefeK7KF+F7PicP\nnmTzpRcykr6Qcm4cVHHSvTgOjO6vbV/iez4jh4/zg7Eya9elsewwJDWfq1/wKpEdwEn1VK1fT07D\n8qVRldSv0CjNRvV1HZHI0BBLhJQztwO30cW86AX0Jh16k2e3DKUGXdYanaNZeebDUiiEaTTnU3gk\nPvSyGW694bu87/M3w7N3VZW+qIeXn4w3+atSmhwjM5wl2Td318GeVJkzMU4m3/PxcuNYziDJvrPy\nBFPH666VHz1DKjHA0UNTc553Gstxq9Y3dB+Ndgp/uWhSGBaVbnBMt6OI3VIyk8z25ebmh5FH8Y7g\nVkJ5tYHDWiyrprwGDXZ2rSQzGlYOjaqkPrCYghiq8QKdKRyXqCgcV298Nq4ldWNN4hzBjebXI2E3\nL08zxNUsctYlSV3ZD0mhtG+S0jNTDYVMXtJL5oWD4FoUn5gg92Do/XTWJ0ldUbHO043vfgvDyqnB\nHL4GDBUzZA9YCMKUXeREYoJAlKFyhoFyBkGq5xcyZA9Gn7FSUygvjkaltt3eQfJnTlAaPw0oTqaX\n1JpN2LZNts9l/aYebFs4eTzP+KjGOo7FEiTZizeZpzwxgmqA29OPmxoATsZ/lgNr6n7UXjFHeWJ0\nZh0nnQ2/n4Uc5cna8XbhFaLzEnPemHFD68hcjc5E5ELgfcClwEzOuqo23M+LSIowvyFJqHw+O11c\nr2KOAH8DvBrIATep6g8brXvR5Vfphz/7Lw1l7nYKZZ9cbA9iyHtaM16vFWVsj2a7foG8sUI5tvJp\nPWWRdqQleRoxHWpqSyjbuQPnkbqmn+z1w2CB2BZBKaB8MMf4547ECtT7+g0kd4R9A0QEVSXI+eT+\n4zTZnx8GWxBLwnUOROvEcOqCEj8bPUoQBKCh03Wwv4/0QTicHiUg7AlqqdBXTjG4YYD9Y8er5g/1\n93Pu030Mvvkc3vf5F7PD+fgcNZGgnJsgd+Jg1Viyf5jSxCjq1/o0drx0J+ddNIiIYFmC7wWMnC7w\nzCNPcnJ/tVmop7+HsmQojZ2qLuWdztLT38PY0eomQT2D/TgDW2LlLIycpDh2ctY6of+gWLN+L5l1\nW9pygS6MnKhZ3830IU6C0njteHp4s1EMFVz/3s89rKo755rXjKP5LuDdhO04X07Yn7mZfWUReIWq\nToqIC3xbRL6mqg9VzHkVcGH0eAHwkejfVUugWqMQINw5xAzjBUrJV5IxncFc22IwJZR8RVFcy8Ku\nYy7wgqBuKex6tw2zFcK0POWgNsO6HvUiiyRtkX35MFJRIdVKWCS2ZkhcmKX0ZHW7S2vIJbmjt+oi\nICJYGZvsK9ZVhZlaCQt3W4bEBT01OwYvo/xsJFIIEb7nMzI2xqlM9X9AIMq4W2Bs9FhV2Kjv+ZwZ\nG2N4axbZfYAb3/IGHrt37s/CzfTSt20H5dwEBAFOphevVEBH453cE4cPYV9ydgdiOxbpNJw+VHvn\nn5/ME/izdkeqePlJyr1D9J1zEeTPoKrYmQHUiq9ZFHjlaoUwvU5uHG92pKoqXn4CvzAV7YTmT1Au\nVSuEaP3y1Bg1ty2qlHPjJAqDbetRsZpo5uKeVtV/JdxV7FfVPwVeM9eLNGT6l+tGj9lXkdcDu6O5\nDwEDIlIbHL2KiGtiPxeNnMQiQtKxSDl2XYUQrtG+xKNmndaNQk3dbRk0RiZJWCQvqr3ApK+O71om\nEm9jtxLWzK6ikql1fmyegh+nkQkVQ9xu2/d8zqRq4/nnQiybRHaARN8QluNSGq2NDJrm+MHai/+Z\nYyMtZ0Z7uXHEcpGe9VjZDXUVAjToPV0P1TBqaoE0Pm/MdzdSDIbWaeqOX0Qs4CkRebuI/GfCMtpz\nIiK2iDwCnAC+rqrfmzVlM2EtpWkORWOz17lFRPaIyJ6xkdqwvZXEfDa77dghL/Ym+7a9uxjc9V5s\nceJzD2a3XIvQQNGYoktaqjNf40tV11vHCtqXWexIRVSWhtVTW0UaOHutGN+QbVmtyy8tOJTFouUT\ntMNhbc3jvK28L8MMzXxqvwdkgN8Fng+8CfitZhZXVV9Vrwa2ANdGxfVaRlXvVNWdqrqzf3DusLxu\nxokcvq3QjgziuES3+ZKaoylOM6Gmpf25eLuVrxQeq70DzH0/vlz09Gvi16kNOe05HDqUZ2PZFlbc\nuM4uGnd2/pqRNO7WNOcd3s2rf/tXOOeCfo4fCGsQefkpcicOMnVsP6XJ0ZndRv9gkh2XD3LpVWsY\n3pAmtab+xvm8K86pGVuzZW3s52bZVvzdgwiJ3uYzjt1MHYd4tFbs+tlBvPwkUycOMnXsAKXJsdjd\nVePz9s7jvCaTej40U/voBwDRbuF3VbW5XP/qNUZF5N+BVwKPVxw6DGyteL4lGlu1iAi9SZuJol/1\nE0g7FkFMQppAWxLGLMuix62trOoIZBLx8ri2xI47de4Mp81FTYWa+srYZw7T/182z9wgii1MPXga\n72ihdn4poPjUJMkLw01spaO5+NQk6av6q8b9CS+2R4LlC5dYm3nCPQwoquFu49yBjfRmszx+5Jlw\nnHC3ceGF28laKX781JNV4xddfh5D5X4y1w6BK6TkGNe89FzOvXicR7/zZJV93CtMUZoY5ZIXX8HW\n7b1YdhjBNTCUZP2mHn4wdprSrBab4ibpXbdh5uI6/b48D9acex6nn3s2nBjJP7x9K5NTwtTxAxWr\nKKmhDdiJ5nseiGXTs34bU8crN/jROm4idrw0OUJp/EzF+52kPDlKZv22ph3B9c+7Ect1ycWMm8S5\n+dFM6eydhM7m3uj5GPBfVfXhOV43DJQjhZAm7MXw/82a9mXg7SJyD6GDeUxVj7b+NlYWjhVmLpcD\nnWmOAzAak3GsUNfR3CpJx8a1hIIf2smTFRf42fJY0Y+53vhs5lOqwjtS4PRtz5LYngkzi/fn0Fx8\nlrD02CTP66lxNItrkb6iv9YBnXVIXJSltK/WVp05ZvE8ewtTmwMCS+k57pAo2Ay9ZRsb2crJQ6fx\nPZ+1m9fg2g5iw7oXbooZF6RiB5ZIBGR6pDoCCEAVv5gnaRWwnbO+Edux6O1PsPmSczl5eA2FkWNo\nEJAcGKZnoI/hDZma95VK2fQM9FHachEJp4SoUtIkhcDCSUPfth14+UlUFSfdg2W3XtTASWfrrjN7\nnCCIejjMckwXpvDyk9EOoP3nnc/7MoQ088l9DPg/VfVBABF5CaGSuHKO120EPiEiNqGZ6tOq+lUR\neSuAqt4O3E8Yjvo0YUjqzfN6FysQEamK4GnkvC35AckW+xjXw7Ks2J4Ks+WZa7ySBWUm+xrmJsxB\nInJMy6xvtJWwYh3WVsIieWG8UoBwx9B74KxPwL00g/pgJ202bF9XNVf9ANuJH59tBx87MRYWuZst\nkwYc23+Cjeetrxp2HIs1w2nOnCzQs37bzPjA0HQHt+r1bcdizXCKM6cKFL3aHYBYFm5PX+x7boV6\n68weL03V8aOo4uUmWlIKrZzXMH+aUQr+tEIAUNVvi0j9Aihn5z0KPC9m/PaKvxX4nSZlXdU0uuwu\n51DsxSpVocX4HURshdFoPJjdHq7h+gFxNm0N6jiy/doLNoDl1v/JuTH5I0GgeDHNkupGQwVKuc6x\nJcGyqZvp0qF+G4aF0YxSeEBE7gA+Rfg/++vAN0XkGoC5ks0M7cFpkHE8l2N3qVjMUhWl53Kopxw/\ndoLnfnIQv+yx8bwNbD1/E5ZYiD3rAuQr+R+PMuLmOJ4YJ5CAoXIP64q9WDHxF6XncmF7utn4GrtD\nIVACP+DkwTPsfyKUZ9P5G9l4wRaCOuG/Gy/YyBPff5IDTxxCg4DhrWu57LpLOXZkiqHhFBu3ZLFt\n4cSxHCeOxmd2qyrHj9QPhV0znGLDliy2Fa5z/MhU3T477cDN9BJbW1YEN9tPeWqcYuRvcLP9JHoH\nkBajhjQKqy2Oh13kEr0DuNkBk7g2T5rJaP73BodVVV/RXpEasxoymuvhBcpE0au6FmQci1ST3dIW\ng+mdAbAopa4rObRmjGMyih+Z2izbImMledGrdpJYn565SKgq+MoPP/L9SCGEn6ilQtp3uXRiU2yk\nkbM+GTq+HQENHd8T/3KC9AsGcNYkq9ZXX3lk9x6OMzZzV2/ZFr39WX52ajOD8kTVDk8cF8u28IvV\nzm+xLK58+bVsOqcXO1L+vh8wNVHmmSdHufzqtWFehYYRmE/9ZJSTMf0OAM7b0c+GTT1n1/ECJifK\nPPrwyY72x/EKOXLHD1REHCnpNZvCUhmTo1WZyHYyTc+G7S1d0HMnD4dJbAtcZ6XTtoxmVX15e0Qy\nLBTHEgZSDl4QRrk4Vn3H7lKwlEXsiuJxxD+DVnwcgR+Q8wucnBhly4azvQdEhFy+wPHUOEHFTVEg\nSt4uc8adYm25NhXHO17k9P96FndLGnEtyody2GuTVQphZv1cnmP+aPX6fsD46XHWyHiVnADqe/gx\nGeIaBIwdP8LW8y+ZGbNti0zWJZV0eOhbR+kfSGLZwthIse4uJJW22bA53GnMrONY9PS6rBlOcfpE\nTERXm3BSGXq37cAvTIWO4FQPgVcmf/pIrMPdy0007R/wS8VqhVC5TouObEPInPs0EVkvIh8Vka9F\nzy8Vkd/uvGiGOEQE17ZI2NayUQjlxH1kb7oOYemqmk44hdj8ggDl+P4TNeMjx0eQmPyCQJRRt0Em\nskL5YJ7Ss1NoSUldHn/xGjk2Gru+Sp2b8gY79uP7azOXHcdicG0KFMZGioycKtRVCBDmP8Sdw3Es\nhtY0H5I6XySqs+RmehHLwi/UCR6ISm80i9donVyL2dcGoLnktY8D/wxsip4/Cfx+pwQydBeL2RWt\nEY5adU0gyUxtvLqTcOMnK7javDkumIyPuXCSdTbh2nrCsZuslTUIlFKpeUd5uRzE6p1wncV3TIc+\nnvhPQloIJxWr3jpS60cyNEUzn/5aVf20iNwKoKqeiDT/bTSsWOYTWZS8pJfUNQNYCaH400nyD4/U\nLVHRCv1eGhuLYFbDAEuFbTu2oKpVJp61m4eQGHMNwLpifZND8tJe0tcMIK5QeGKC3I9GyLxkTc36\nw1vWYPlRMnWl7wCw1MKXWRfiBr2SL7zm/Jr1VZXjh5tvfjNyqhD6OuLWOdL8Ou3CSffGByW1mIns\nZnrJx64Did7a9qaGuWlmpzAlImuIPnYReSEw/5ZUhhXBfBRCzy8Mk33lehJb0jjrUqRfNMTAm7aF\njtsFIgjXXHEp6WwK27FxXBvbsbni2osJHpiAgJmLoqpSeHgMt6f2DlwscJ34e6XsL6+j91fW424O\n5e958RoGf2Mb4186MpM5PLP+njEuHt1AIrDDUhiBYKlw/tQwfV4y5iJmY8X2MrY4fNijWPDxvACv\nHOB5AfseO0OhlZBahUcfPkWxWL3OT1tcp12IZZHdsD3cFYg188is24rlJtqzjlNnN2hoSDM7hT8g\nzDw+X0S+AwwDN3ZUKsOyZj4OZavXIX11f3UpbNeCPpfUpb0UHl1YRUurz2HoBRt4xYs3Mn56Aq/s\nMzDchwTC5NETnPrLp0he0oukLAp7J5gaKpMv1pa5UIUj23Nse7La0WwNuKQu70Pcs/KLa2H1u4hj\nceoDT5G8tBdJhutTCsiQ4OrxreTsEr4oWS9JyfJ4xj1Va/FQn6AYY4oSZezEGX7w7YBsr4tlCxNj\npXmFkeYmy/zgwWNk+1wsa/7rtAs7maZ360X4pQJogJ1MtxyOWruOYidT81rHENJM9NEPReTngR2E\nX+V9qlruuGSGZcdC/Afu5lTdjGP3vJ4FKwV3cxr1Fcux6F9b7fxNnNtD8bFxik+cLds10pev13CM\nkalxts0qBOxuTqGB1lzLrYQVrr93guJPasuCCUKPf9anMeEUEKUm+qju1TlyvCayA0xOtOdnNzm+\nfH6+IoITu0NamnUMDcxHIvJzIrIBQj8CYYXU9wB/JSIru1SpoYaFOpSDqToZx74StOEiFUzFO3zr\nrZ8I6psWEm6MY7ee/F6A34L8bhDv/Gx0xy62MYMYFo9GO4U7gF8EEJGXAX8B/F/A1cCdGBPSqqEd\npSrKB/NoPkBdq7qJTaAUftS6iyp1VT/p54cO3+K+SXLfO4MW4tfP/3iM1NX9Zx3EP51k+Pun+Fma\n2IilraXafsrl/Tm0FLO+Qv7HYxxLjHEiNUGAMlTKsKk4gBMTxTTjEFe/1oRk2RDMUj4iJI3DtCGq\nSnH8dNR7Wkn09JMcWBtFJhlapZHhzVbV6WpWvw7cqaqfU9X/CVzQedEMy4F21i4avecg/qkiWg4I\nij5B3mf8S0fxR1rbKWRfvZ6eVwzjDCexBxKknz/A4Ju3MfrZQ/inS2fXz/mMf/EomRcPkX352fmZ\nnQMMvWk711xzeU2XtQuuPI/siZiLicLoP85e32P8i0d4qnyEg5kR8naZou1xLDXO471HCGLqYgjC\npRMbSQUulobOZyuZpcggBV0bOllFQCzEssms29aS43U1kjt+gOLICYJyCfXKFMdPM3nkZ6guoxpQ\nXUSjnYItIk5kOvoF4JYmX2dYAbTU+6BJgjGPkbsOYA24iCv4p0otl1ewBlxSF/dWO3wdC8k4JDZn\nGPnY/qr17QGX1I7a+VaPw8arN7Hp+Zs5eegU5WKZDeeshwCmRk9S+HHt7iUYLTPysf3Ygy444fp5\nKXGmL4fK2TeiAmXL51RiinWl2vDWVOBy1fgWClYZXwIyowluz/4GO5y7mPKHGd6cBlUsN2nKNMyB\nX8yHCWyzMpoDr0R5aoJENr5Nq6E+jXYKnyIshvclIA9Ml86+ABOSuqKp9B90IkM5GC3jn2xdIQC4\nG1OxlU+thIV7TqZmfafB/GkBhresZdP5G7EcK1xnW2OHpT9ydv1Jp4jEJYWJMu7EloKbIRW49PhJ\nBOHWG77LPj8sFGC7SexEyiiEJvCK+fjvkWr9rGlDQ+oqBVV9D/CHhBnNL9Gz1awsQt+CYQUyZ+/k\nJSaY8IjLYFUvwB8tNT/fD+KrjHoB/mjz5qxE4MQm1IpCsoEzezajuw+ABgS+z7H9o02/brVj2U7d\ndpziGLPbfGhoBlLVh2LGnmxmYRHZCuwG1hP+/O5U1b+ZNed64EvAz6Khz6vqnzezvqH91PMfKMrR\n5BjHkxMEEjBQzrA1P0hC63x9BNI/N0j6eZEj+OlJcg+erhvB0wrlQ3mCKQ9x3RqHb+HRMdIviM7r\nhOed+tZpvMkS+/ce5sBPD+F7Puu3r2fHVefh4mBlqa5RFBBrOqpHn5fCDWyKljcrc1nqZkYHlnLy\n/CLHcmcI/IC1fYNsPJThbZP38JHszezg4y1+KtWoBhRHT1GaCEtJuz19JAfXrchuZE5US0lrmlC1\n1nvacJZOfks84A+jPIde4GER+bqq/mTWvAdV9bUdlMPQBI0S0p7OnGQ0kZspMX0qMcmYm+fK8c2x\nETa9/2kDiQuyYXIakLq8n8R5WUb+/jm0DXV2/JHQVzCNqhKUA7KvGMbd3jPrvD1871PfY9TKEwTh\nuQ/tO8zxfce4unwOg6/bjLMhzDAO8j4TXz1GMD5nD6kZBOGSiY083XOCKacU9swOLM7PDZOsozR/\ndt4YZ0bGCKIL2dHTJzkzmODy8kZufOM2Hrt3YRllueMHq+zspYkRyvlJejdfgNTpn92tiAg9G88l\nd+IgQTlMRrRsh/TwlhWpBBeDjn1qUa/lo9HfEyLyBLAZmK0UDEvIXPkHBavMSKLakYqAT8DJxAQb\ni9V3Y/agS/KCbLVj1xYkaZG6so/8noWZRuwhl8S2TNUuQUSwXIvEeT1Vd/1iC1P5PKOSI6jwK6gq\nnvocL40gdwdIj404FsHY/PIlkupw2eQmSuIRiJIMnNiKrQCFNcqZ0bMKAcLubeWSx9hWjwvz9/BZ\n72Z49i4s22bDOa3d7cY6XglLc5enxlZkPSDbTdC7+XwCrwyqiOMaf8wCWJTbBhHZTtia83sxh18s\nIo+KyNdE5LLFkMcQ0kxC2pRdjL28BaJMOLVlIpz1ybqOXWfLwjNOnfXxjuNKJVTJ+NhkTdgpRPLb\nofw65c9bIVSSUIdU4NZVCAD5Pj/2guV7PhNOgdHdB3jb5D3s826uUhzN4pfq9EVQxSs0KAm+ArAc\nF8tNGIWwQDquFEQkC3wO+H1VnV3L4IfANlW9Evgw8MU6a9wiIntEZM/YSJ1G4IaWaNahXM9ZKgop\nv/aYP+bFOv7UC/DP1DqCW8UfL8ev78eXhk5nUrFtNEUh3YIjuF0kCvE/OcuySOlZeW5847Z5rR8W\ngYsvJW3yHQzN0FGlICIuoUK4W1U/P/u4qo6r6mT09/2AKyJrY+bdqao7VXVn/6CpsLFQWklI6/ET\n0d1vNYKwPiYG3ztaIBgpobPKUmvAvDKXa9Y/XCAYL1e0dowIIBgro7MazQys7Q8jhGZNb+QI7iSZ\no0IqlajRa2ILQ0dq+z60ip3qibeli6xI05Gh/XRMKUi4h/so8ISqfrDOnA3RPETk2kie052SyRA5\nlD+wnwsGL2oqQ1kQfu5lVzO8JewFLJbQ05/hBa98PqlE/EVs9N5DlJ6bQn1FvQDvdImxew9F4aEL\nRzLVzm1VBUcY/8qx6vOeKjJ+72EuGdtAv5dG9OwO55KJDfWjpzqIIOw4s57BwYGZzzPbm+EytuBO\nze7RqRx5trWfQ+h43Y6d6iHcMQiWmyS7cbtxvBqaopPfkuuANwGPicgj0dgfA9sAVPV2wvpJbxMR\njzBB7g1acwtoaAfzLWhnD7lkL+rn2suej1f2CPyARCpBUA7IXR2Qf2ik5jWaDxj/3BEkIWALmm9f\nuYHEhT1YabumJ7Kq0nPdEOOfrT2vi83FkxvwCQhEW+qs1gncKeHCZwYJEgMEFjina809w3e8nxve\nvIP3feElWPs/3pLD2XJcshu3o4GPqhplYGiJTkYffZs5Og+q6m3AbZ2SwRCykAqnzrrkTMlox3Ug\nMntbroW7MU2eWqUwTdhRrb06fjpreTYigr0+1fC8Nhb2MrrlsEoy91Zdg3k5nCFsVWlcroZWWVlB\ny4YaFpqh7J8px0ZzqBfgnayNPuo03rH4c6oqQRsc2cuJ0d0HuPWG70ZmJBNgYVgczL5yBaCq5Mo+\nxcjJ6lhCj2vzkSfeuOAKp96JIt7JIs765EzXNFVFfaXw+DjZX1pH6vI+cITygRyTXz+Bf6ZzTVyK\n0TlxmVFW0xbHiX+r0zVnmSEJoeflw6Qu6wNLKO0PP7cgprzG6O4DXPGWd/PYvSbR37A4mJ3CCmCi\ndFYhAHiBMj46yn+/Y6Jph3Ijxj59mOK+SdRTNFC8Y0XG/vEQva9cT+qKPiQR9hhwt2UYeNO2Gkdw\nu/FO1sbiaylAJ9vjyO40/b+2Zaa1p9hCYnuGwTdtQ5INfo5mt2BYJIxS6HL8QPFikrnUcXF/+ea2\nnENLARNfPcapDz7FqQ8+zejuA6gq7qZUdeayJYgtpK/qXLliZ10SdzhV42jGElIdPG+7cDamsIeT\nVb2qxRJwhNQVfbGvGb7j/dzw+h2gaorlGTqOUQpdjl8vWMtNMrH5nPaeTIFpE9WaRN3MYmfDwuPt\n62GvSdTmKBA6vp11qY6dt13Ya+ITyKyEhb2+/uc2uvsA+/z2KHmDoRFGKXQ5dp2Ufqtcpvfw/o6d\n1ztVii0foeWgrjO4HfinS7GO76Ac4J2oU+KhzQSWErQSxmQBdiizf7oUXzakFOAfX3zHvcEwG+No\n7nJsS0j95PsUL7gKnU4mCwLEK7P5ew907Lz+qRLlw3nczekZE5IGoQM630Lp6VbxThQpHyuEpivn\n7HnxtKWS1/PBTyoHtk1w8swZVJX+/l62j68hFZNnACApi+yvrCd5YRYkzPae+KfjtY77afkfm10F\nppbAC/sttFooz2BoFrNT6HJu27uL4dv/B5v3fBu7WIDAZ+DZfey8/S9ITs59kVkIY587QuHRMYJS\nEFb63J9j9JMH0NzC+yY0PO9nD1N4dDx0LvtKafq8bUySm42i7NtwKlQIgYLC2OgEe+1DeJn4XcPA\nG7aQvLAnrBJrCc7GFANv3Mr4l49SeHwcLUfy/yzHyCcPoMXG8r9t8h6ueMO7CfzOfr6G1Y3ZKawA\nHC/g3K/ey0VfvXdxT+wpk984yeQ3FjkUtKxMfv0Ek18/sWinzG9Qcrl8jR8lCALObC6x7qlqf4Cz\nOYU1mKgu5W2FmdbJS3qZ/OcTTP5z6/JfmL+Hx8DsFgwdw+wUupjpOkYLDTk1zE0pHX8XH/gBOWp9\nAfZggrisanEtnOH5O+JHdx8Iy2p7pm2noTMYpdCFlBP3kb3pOoT4TmmG9pOatGsa1wDYtkU2qI16\n8k8WY/sqaCmgfGRhDvGzZqTOmcsMqxejFLqMhdQxMsyf1Emhv78Xq7Kfs4DtOgwerO3L4B0vUj6S\nR8vVHda0FFB8vF2+HpO3YGg/Ril0EQutY2RYGOc/N8iWwWHcpIvt2Kxfs4bLJzdhl+Kjj8Y+e4Tc\nw6MEOY+gFFD86QQjuw+0pU/18B3vj7qzGTOSob0YR3OX0EpjHENnsHxh41MZNhJVap3Lv+4ruQdO\nkXvgVEfkufWG7/K+L/w2l9gf78j6htWJUQpdQPam63gnxn9giEGDmd2CiUYytANjPlrm3LZ317J3\nKEuPjTWw+P2OVzujuw/wtsl7IjOScTob2kPHdgoishXYDawnjM27U1X/ZtYcAf4GeDWQA25S1R92\nSqZuxZLluaGzsja9r9uIuzEFCkHBZ+K+45T355ZatFXFjW/cxmOLnKJiWLl08mrjAX+oqj8UkV7g\nYRH5uqr+pGLOq4ALo8cLgI9E/xo4azY6d5nuEvrfsBV7wEWiuj62a9H/q5s487H9sb0BDAbD8qdj\n5sP5v9wAAAtCSURBVCNVPTp916+qE8ATwOZZ014P7NaQh4ABEdnYKZm6hW7IQ3A2p7CyzoxCmEGE\n9POWfwnrFYfpt2BoE4viUxCR7cDzgO/NOrQZOFjx/BC1igMRuUVE9ojInrGRlf3F75Y8BCvrEJux\n6wh2v/EvLCam34KhnXRcKYhIFvgc8PuqOq+sHVW9U1V3qurO/sGh9gq4jJhWCN2Qh+AdK9TuEggz\ndkvGp7DoTPdbMA5nw0LpqFIQEZdQIdytqp+PmXIY2FrxfEs0tmrpljyEYMyjsHecoCIRS72AIOdT\naFvGrqEVbnzjNmNGMiyYjimFKLLoo8ATqvrBOtO+DLxZQl4IjKnq0U7JtJyZ3iV0E5P/dIKpfz2B\nd6KIP1oi//AoI5/YD+UWGtAY2saMGSnGrGcwNEsno4+uA94EPCYij0RjfwxsA1DV24H7CcNRnyYM\nSV2V/Qa7OVu58Og4hUfNzmBZoXDk2TNsOm/lmloNnaNjSkFVvw2xnQcr5yjwO52SoRvoZoVgWH6M\n7j7AFW95N4/d82dGMRjmhcloXgYYhWBoJ8N3vJ8r3vDupRbD0KUYpbCETO8SDIaOYJzOhnlglMIS\nMd017YLBi8wuwdB2zu4WTO6CoTWMUlgClnu2smFlcGH+Hvb5v73UYhi6DKMUlojlnpxmMBhWJ0Yp\nLDLZm65bahEMq4TR3Qeq+i0YDM1glMIi0g29EQwri7P9FvylFsXQJRilsMgs194IhpXLrTd8d6lF\nMHQR5gq1SCz33giGlc0+72Z49i4s2zZtOw0NMTuFDtMNvREMKxvTttPQCkYpdJg7fnT3su+NYFgd\n3PjGbZi8BcNcGKXQYd75gf3Gj2BYFlyYP+t0NorBUA+jFDpEpdnIZCwblgOjuw9w6w3fNQlthoYY\npdBBjNnIYDB0G0YpdIhua5hjWEVoYBzOhroYpdABps1GZpdgWG5Mm5BMBVVDPTrZjvNjInJCRB6v\nc/x6ERkTkUeix7s6JctSYBSCYbkyuvuA6bdgqEsnw2I+DtwG7G4w50FVfW0HZTAYDAZDC3Rsp6Cq\n3wJW3f70tr27lloEg6E51OQsGGpZap/Ci0XkURH5mohcVm+SiNwiIntEZM/YyPLVM5X9lg2G5cx0\nE57AMzkLhmqWUin8ENimqlcCHwa+WG+iqt6pqjtVdWf/4PJuRG76LRu6heE73s8+/+alFsOwzFgy\npaCq46o6Gf19P+CKyNqlkmehmH7Lhm7F7BYMlSyZUhCRDSIi0d/XRrKcXip5FkI5cd+M2cjsEgzd\nxNsm7wnNSKbfgiGiY8ZvEfkU/P/t3X+s1XUdx/Hna9x7Z4AKG65QUJwji2pDYEgqSllOi6lNGmqt\naG62am7WtNFc4eaihf3RD5ZkROoqUBk0J4b262plaSDEL8UkEa9WyJq3LELAd398P/d0LsK9XDjf\n87n3e16P7Y57Pud7vry+sHve9/s53+/7wyxgjKQuYAHQDhARS4A5wGckHQD2AldHRJSVp2xuZ2FD\n1cS9K9icO4QNGqUVhYi4pp/nF1NcsmpmZoNE7quPhrz9HWvc0sLMKsNF4Th5vQSrhMBtLwxwUThu\n829/wQXBhrRa2wv3QzJcFMyM/9/MZuaiYGZmNS4Kx2F/x5rcEcwazP2QWp2LwjFavPVaRl+70H2O\nrDJO+d4ir+FsLgrHw3cwW9V4DWdzUTAzsxoXBTMzq3FRMLPe4o3cCSwjFwUzq3n1nl3M+djpvHHg\noG9ka1EuCmbWi29ka20uCsfIC+qYWRW5KAzQ/o41jJx3vtdPMLNKclE4Bu6KamZVVVpRkLRM0m5J\nW47wvCR9W9JzkjZJmlJWFjMzOzplnincBVzax/OXARPT1/XAHSVmMTOzo1BaUYiIx4C+rmm7Argn\nCn8ARkkaW1YeMzPrX85ubqcBL9Y97kpjfz10Q0nXU5xNALx26Tvftr38eP3Z0d8GY4A9TQgyWPh4\nq2Ttzw4dqfbxvlkVj/eMo9loSLT4jIg7gTtz5xgISesiYlruHM3i4602H2/ryHn10UvA+LrH49KY\nmZllkrMoPAB8Il2FNAPojog3TR2ZmVnzlDZ9JGk5MAsYI6kLWAC0A0TEEuAh4EPAc8B/gE+VlSWT\nITXd1QA+3mrz8bYIRUTuDGZmNkj4jmYzM6txUTAzsxoXhRJIGiZpg6QHc2dpBkk7JW2WtFHSutx5\nyiZplKSVkp6R9LSk9+bOVBZJZ6f/156vf0q6MXeuskj6vKStkrZIWi7phNyZms2fKZRA0heAacBJ\nETE7d56ySdoJTIuIqt3sc1iS7gZ+ExFLJXUAwyPi1dy5yiZpGMVl4+dGROV6x0s6DfgtMCki9kq6\nD3goIu7Km6y5fKbQYJLGAR8GlubOYo0n6WTgQuAHABHxeisUhORiYEcVC0KdNuAtktqA4cDLmfM0\nnYtC430T+CLQSgvdBvALSetTS5IqOxN4BfhhmiJcKmlE7lBNcjWwPHeIskTES8A3gF0U7Xa6I+KR\nvKmaz0WhgSTNBnZHxPrcWZrsgoiYTNH59nOSLswdqERtwBTgjog4B/g3MD9vpPKlabLLgftzZymL\npNEUjTrPBE4FRkj6eN5Uzeei0FjnA5enOfYVwPsl/ShvpPKl37CIiN3AamB63kSl6gK6IuKJ9Hgl\nRZGousuApyLi77mDlOgDwPMR8UpE7AdWAedlztR0LgoNFBFfiohxETGB4lT7VxFR6d80JI2QdGLP\n98AlwGEXVqqCiPgb8KKks9PQxcC2jJGa5RoqPHWU7AJmSBouSRT/t09nztR0Q6JLqg1qbwVWFz9D\ntAE/iYi1eSOV7gbgx2lK5S9Ur0VLL6nYfxD4dO4sZYqIJyStBJ4CDgAbaMF2F74k1czMajx9ZGZm\nNS4KZmZW46JgZmY1LgpmZlbjomBmZjUuClY5km5JnS43pc6e5zZ4/7MO1wH3SOMN+PuulDSp7nGn\npJZcVN7K5/sUrFJSG+vZwJSI2CdpDNCROdbxuhJ4kNa4Sc4y85mCVc1YYE9E7AOIiD0R8TKApKmS\nHk2N+x6WNDaNd0r6Vjqr2CJpehqfLun3qfHd43V3Mfcr3em9TNKT6fVXpPF5klZJWivpz5IW1b3m\nOknPptd8X9JiSedR9By6PeU7K23+0bTds5JmNuIfzgxcFKx6HgHGpzfL70q6CEBSO/AdYE5ETAWW\nAV+te93w1NTvs+k5gGeAmanx3VeAhQPIcQtFm5PpwPso3tR7uqlOBuYC7wHmShov6VTgy8AMih5a\n7wCIiMeBB4CbI2JyROxI+2hL+74RWDCAXGZ98vSRVUpEvCZpKjCT4s34XknzgXXAu4Gfp5Ycwyja\nI/dYnl7/mKSTJI0CTgTuljSRoj14+wCiXELRHPGm9PgE4PT0/S8johtA0jbgDGAM8GhE/CON3w+8\nvY/9r0p/rgcmDCCXWZ9cFKxyIuIg0Al0StoMfJLizXNrRBxp6cxD+70EcBvw64j4iKQJaZ9HS8BV\nEbG912Dxofe+uqGDHNvPYc8+jvX1Zofl6SOrlLSm8MS6ocnAC8B24JSe9ZQltUt6V912c9P4BRSL\nq3QDJ1MsPwkwb4BRHgZuSN02kXROP9v/EbhI0ui06tdVdc/9i+Ksxax0LgpWNSMppny2SdoETAJu\njYjXgTnA1yX9CdhI7175/5W0AVgCXJfGFgFfS+MD/W38Norppk2StqbHR5TWpFgIPAn8DtgJdKen\nVwA3pw+szzr8Hswaw11SreVJ6gRuioh1mXOMTJ+JtFEsVrQsIlbnzGStx2cKZoPHrZI2UixS9Dzw\n08x5rAX5TMHMzGp8pmBmZjUuCmZmVuOiYGZmNS4KZmZW46JgZmY1/wOV8BI4tsRbJAAAAABJRU5E\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee9ebe48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=1,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel and C = 1')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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oar6tqzLUJIhKRquG/Y1tqR+fX2u+FwRkizOZy6Fdv55ZppK5EsXiaFeznHb0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\ncwX/B7WHdgFzIaClAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee9eb588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=10,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel and C = 10')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CwbAQdFJTuBZ4pYjsA+4CXiQi/1Q+QVXHVHUi+vvLgCsiazu4J8MqZKLgM+0FBAoK5H1l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\nScHMzMqcFMzMrMxJwczMypwUzMys7H/KA4Msxd1xZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1b1ee9ebdd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svc = svm.SVC(kernel='rbf', C=100,gamma='auto').fit(X, y)\n",
    "# create a mesh to plot in\n",
    "x_min, x_max = X[:, 0].min() - 1, X[:, 0].max() + 1\n",
    "y_min, y_max = X[:, 1].min() - 1, X[:, 1].max() + 1\n",
    "h = (x_max / x_min)/100\n",
    "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    " np.arange(y_min, y_max, h))\n",
    "plt.subplot(1, 1, 1)\n",
    "Z = svc.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "Z = Z.reshape(xx.shape)\n",
    "plt.contourf(xx, yy, Z, cmap=plt.cm.Paired, alpha=0.8)\n",
    "plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)\n",
    "plt.xlabel('Sepal length')\n",
    "plt.ylabel('Sepal width')\n",
    "plt.xlim(xx.min(), xx.max())\n",
    "plt.title('SVC with rbf kernel and C = 100')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
